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作者:

Gong, Daoxiong (Gong, Daoxiong.) | Pei, Mengyao (Pei, Mengyao.) | He, Rui (He, Rui.) | Yu, Jianjun (Yu, Jianjun.)

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摘要:

Pneumatic artificial muscles (PAMs) are expected to play an important role in endowing the advanced robot with the compliant manipulation, which is very important for a robot to coexist and cooperate with humans. However, the strong nonlinear characteristics of PAMs hinder its wide application in robots, and therefore, advanced control algorithms are urgently needed for making the best use of the advantages and bypassing the disadvantages of PAMs. In this article, we propose a full-order sliding mode control extended state observer (fSMC-ESO) algorithm that combines the ESO and the fSMC for a robotic joint actuated by a pair of antagonistic PAMs. The fSMC is employed to eliminate the chattering and to guarantee the finite-time convergence, and the ESO is adopted to observe both the total disturbance and the states of the robot system, so that we can inhibit the disturbance and compensate the nonlinearity efficiently. Both simulations and physical experiments are conducted to validate the proposed method. We suggest that the proposed method can be applied to the robotic systems actuated by PAMs and remarkably improve the performance of the robot system. © The Author(s) 2021.

关键词:

State estimation Agricultural robots Robotics Pneumatic drives Pneumatics Muscle Robots Sliding mode control

作者机构:

  • [ 1 ] [Gong, Daoxiong]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Gong, Daoxiong]Beijing Key Lab of the Computational Intelligence and Intelligent System, Beijing, China
  • [ 3 ] [Pei, Mengyao]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Pei, Mengyao]Beijing Key Lab of the Computational Intelligence and Intelligent System, Beijing, China
  • [ 5 ] [He, Rui]Faculty of mechanical and electrical engineering, Beijing Institute of Technology, Beijing; 100081, China
  • [ 6 ] [Yu, Jianjun]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 7 ] [Yu, Jianjun]Beijing Key Lab of the Computational Intelligence and Intelligent System, Beijing, China

通讯作者信息:

  • [he, rui]faculty of mechanical and electrical engineering, beijing institute of technology, beijing; 100081, china

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来源 :

International Journal of Advanced Robotic Systems

ISSN: 1729-8806

年份: 2021

期: 1

卷: 18

2 . 3 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:87

JCR分区:4

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 4

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